Data Scientist Analyst

Basic Qualifications

• Bachelor’s degree in Software Engineering, Computer Science, IT, or other related field
• 2+ years of professional experience
• Experience with Tableau and/or other data visualization tools
• Proficient in at least one of the following languages: SQL, Python, R, Matlab
• Highly proficient in MS Office suite including MS Access and MS Excel
• Strong analytical and problem-solving skills
• Ability to effectively interact with internal customers and interpret business needs
• Strong mathematics background to perform qualitative and quantitative analyses

Job Description

WHAT WE’RE DOING

At Lockheed Martin Rotary and Mission Systems, we're taking innovation to the next level. From designing the most advanced air vehicle to designing aircraft that defies gravity, our engineers live on the cutting edge of technology. Never have the opportunities for a technical career been so limitless.

Who We Are

Lockheed Martin: An Award-Winning Place to Work

THE WORK

RMS Owego is seeking an experienced and self-motivated Data Scientist Analyst who is looking for a challenging work environment.

Selected Individual Will Be Responsible For The Following

• Designing and implementing reports and dashboards using data visualization tools.
• Analyzing complex business problems using data from internal and external data sources to provide insight to stakeholders and decision makers.
• Developing models to identify and interpret trends and patterns in data sets.

Specific Responsibilities Include

• Interacting with internal customers to develop data driven solutions
• Analyzing business data and creating forecasts using statistical models
• Developing, implementing and maintaining dashboards and data visualizations
• Partner with business & technical experts to identify analytics opportunities and define requirements.
• Ability to document requirements, designs and detailed technical specifications, training materials, operating instructions, and test plans to support development of predictive analytics solutions.
• Utilize all parts of the data analytics pipeline, such as data collection, wrangling, cleaning, analysis, visualization, and presentation to deliver critical insights to internal customers

WHY JOIN US

Your Health, Your Wealth, Your Life

As an employee at Lockheed Martin, your health and well being are paramount. From medical insurance, to legal help and tuition reimbursement, we provide benefits to improve your life. Come check out all of the amazing benefits Lockheed Martin has to offer.

Learn More About Lockheed Martin's Comprehensive Benefits Package

benefits package

Desired Skills

• Strong analytical abilities with hands on experience in databases, data structures, or large scale data processing (e.g., Excel, Access, etc.).
• Proficient in querying databases using Structured Query Language (SQL).
• Excellent written and verbal communication; capable of presenting complex findings to both technical and non technical audiences.
• Ability to create clear, concise reports, dashboards, and visual stories that drive decision making.
• Proficient in statistical programming and data processing tools (Python, Alteryx)
• Experience with automation, artificial intelligence (AI) and/or machine learning (ML).
• Detail oriented, ensuring data accuracy through rigorous validation and root cause analysis
• Self-motivated, driving independent projects while continuously learning new analytics and visualization tools

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.